Name
Abstract | ||
|---|---|---|
Edge-preserving smoothing based multi-scale exposure fusion is a state-of-the-art method to fuse differently exposed images of a high dynamic range (HDR) scene. However, its complexity could be an issue. In this paper, a novel multi-scale exposure fusion algorithm is proposed by adopting an approximation method at the highest layer of the pyramid. Experimental results show that the proposed algorithm can be applied to fuse images with comparable or even better quality with the edge-preserving smoothing based multi-scale fusion algorithms. It simplifies the complexity of the edge-preserving smoothing based multi-scale exposure fusion algorithms significantly. |
Year | Venue | Keywords |
|---|---|---|
2018 | 2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | Exposure fusion, Image pyramid, High dynamic range, Multi-scale fusion, Edge-preserving smoothing |
Field | DocType | ISSN |
Computer vision,Approximation algorithm,Histogram,Dynamic range,Pattern recognition,Computer science,Fusion,Smoothing,Pyramid,Artificial intelligence,Fuse (electrical),High dynamic range | Conference | 1522-4880 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qiantong Wang | 1 | 7 | 0.75 |
| Chen Weihai | 2 | 190 | 38.21 |
| Xingming Wu | 3 | 7 | 2.77 |
| Z. Li | 4 | 1578 | 164.19 |